Filter Options
Martin Wolfe, IBM STL Lecture

4:00PM - 5:00PM EST

This talk covers work being done in the Retail and Consumer Products industries, where there is a need to track and trace live goods including plants and food. The technical aspects of how to implement this will be covered including where Internet of Things (IoT) sensors are leveraged to provide location, status, and state to know previous, current, and future provenance of products materials, and consumer goods. Blockchain, sensors, and analytics will be covered in specifically how they are used in various examples.

Share
facebookfacebook twittertwitter linkedinlinkedin emailemail
TEDxMIT Operation Earth

4:00PM - 10:00PM EST

TEDxMIT will be featuring talks from various speakers, including Karthish Manthiram, an Assistant Professor in Chemical Engineering; David McGee, a paleoclimatologist and Professor of Earth, Atmospheric, and Planetary Science; Noelle Selin, an Associate Professor in the Institute of Data, Systems, and Society, and in the Department of Earth, Atmospheric, and Planetary Science; and Thomas Peacock, the Director of the Environmental Dynamics Laboratory (ENDLab) in the Department of Mechanical Engineering.

Share
facebookfacebook twittertwitter linkedinlinkedin emailemail
work of the future

Continue the conversation of AI and the Future of Work

After the AI and the Future of Work Congress on Nov 21, keep the conversation going! Cap off your time on campus by participating in the AI & Work of the Future Unconference on Friday, November 22.

Join fellow participants and bring your biggest questions and most innovative ideas to this half-day event. No pre-determined topics, keynotes, or panels - we’ll amplify and facilitate the AI and future of work-driven conversations that matter most to you and your organization.

Share
facebookfacebook twittertwitter linkedinlinkedin emailemail
November 13 - 14, 2019
Applied deep learning

Learn to leverage cutting-edge deep learning tools to powerfully process data in different modalities, including text, images and graphs. In a class of just 30 participants, you’ll gain hands-on experience utilizing existing deep learning packages to solve organizational challenges.

*Course will be held on MIT's campus.

Member DiscountAlliances members are eligible for a discount for this program. Please log in to view discount instructions.
Share
facebookfacebook twittertwitter linkedinlinkedin emailemail